L. Rinaldi

798 citations
29 papers · 467 · h-index 10

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Research Studies
    • Breast Cancer Treatment Studies

Papers in

L. Rinaldi

29 papers receiving 459 citations

Peers

L. Rinaldi
Comparison fields: 5 of 70
  • Oncology 147
  • Cancer Research 62
  • Radiology, Nuclear Medicine and Imaging 83
  • Health Informatics 5
  • Oral Surgery 23
Replace Peter Ntiamoah with:
Peter Ntiamoah United States
Mingyu Zhu China
Justinas Besusparis Lithuania
Josip Španjol Croatia
Sho Uehara Japan
C. Jay Engel Canada
Xianglei Yuan China
Peter Dankerl Germany
Rob Vogels Netherlands
C A Britton United States
L. Rinaldi relative to Peter Ntiamoah United States Peter Ntiamoah's profile →
Citations per field
00.5×2.9×
Peter Ntiamoah · 1×
Citations per year

Countries citing papers authored by L. Rinaldi

Since Specialization
Citations

This map shows the geographic impact of L. Rinaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by L. Rinaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Rinaldi more than expected).

Fields of papers citing papers by L. Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Rinaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by L. Rinaldi. The network helps show where L. Rinaldi may publish in the future.

Co-authors

The 25 scholars most cited alongside L. Rinaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Rinaldi Line = papers co-authored together L. Rinaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202284
2 199762
3 202260
4 201846
5 202232
6 202228
7 202128
8 202122
9 202214
10
Thymoglobulin-induced severe cardiovascular reaction and acute renal failure in a patient scheduled for orthotopic liver transplantation.
200611
11 20249
12 20179
13 20167
14 20236
15 20226
16 20236
17 20186
18 19975
19 20234
20 20243

About L. Rinaldi

L. Rinaldi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 29 papers that have together received 467 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), MRI in cancer diagnosis (3 papers), HER2/EGFR in Cancer Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Gene expression and cancer classification (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (147 citations), Cancer Research (62 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Health Informatics (5 citations) and Oral Surgery (23 citations). L. Rinaldi has collaborated with scholars based in Italy, Türkiye and Switzerland. Frequent co-authors include Guido Giacalone, Alessandro Rizzo, Gennaro Palmiotti, Benedetto Allotta, Antonio Cusmai, Silvana Acquafredda, A. Misino, Francesco Giotta, Raffaella Massafra and Annarita Fanizzi. Their work appears in journals such as Scientific Reports, Journal of Personalized Medicine, Future Oncology, Cancers and Annals of Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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